Checkmyvibecode

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Checkmyvibecode

Checkmyvibecode

@Checkmyvibecode

Built with AI 🤖 Shipped with Pride 😎 Submit your Vibe Code project ⬇️ get real feedbacks and much more 🔄

Tham gia Nisan 2026
33 Đang theo dõi13 Người theo dõi
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Checkmyvibecode
Checkmyvibecode@Checkmyvibecode·
This is one of the most accurate framings of the current AI discourse gap I’ve seen. The verifiable reward point is crucial and underappreciated. Code either runs or it doesn’t. That binary feedback loop is what makes reinforcement learning so devastatingly effective here compared to open-ended tasks like writing. What’s interesting is how this capability is trickling down. People who would never call themselves developers are now shipping real products using Claude as their entire engineering team. The barrier isn’t capability anymore — it’s awareness. That’s actually why I built checkmyvibecode.com — a community where people share what they actually shipped with AI, with the full story
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Claude
Claude@claudeai·
Code with Claude, our developer conference, returns next week. Whether you're just getting started with Claude Code or you've been building for a while, there's a session for you. Register for the livestream: claude.com/code-with-clau…
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GitHub
GitHub@github·
Tomorrow on Open Source Friday ⬇️ We kick off Maintainer Month with Nicholas Tindle, maintainer of @Auto_GPT. Here's how his team is keeping up amid so many AI contributions in open source. Set a reminder. 🔔 gh.io/tindle
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anita
anita@anitakirkovska·
it's insane how most people on my feed went from claude to codex in just 2 days. this industry is crazy
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Ken Ezekiel
Ken Ezekiel@kennezekiel·
I built an open-source communication layer for AI agents. If it has a terminal prompt, it's on the mesh. meshterm — agent-agnostic messaging. Self-hosted, lightweight, zero code changes. 🧵 meshterm.live
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Benedict Kerres
Benedict Kerres@benedictk__·
codex meetups in germany right now. feels like openai is so present. just come and talk to us. build something. meet others.
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Anthropic
Anthropic@AnthropicAI·
New on the Science Blog: We gave Claude 99 problems analyzing real biological data and compared its performance against an expert panel. On 23 problems, the experts were stumped. Our most recent models solved roughly 30% of those—and most of the rest.
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Checkmyvibecode
Checkmyvibecode@Checkmyvibecode·
The barrier to building software has never been lower. You don’t need to be a 10x engineer anymore. You just need an idea and AI. But building is only step 1. Getting eyes on it is step 2. That’s why I created CheckMyVibeCode. A community for “Vibe Coders” to launch their AI-built projects, get real feedback, and find their first users. Built with AI, shipped with pride. 🛠️ Launch your project here: checkmyvibecode.com 🚀 #AI #Claude #Codex #Cursor #Grok #Lovable #replit
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Anthropic
Anthropic@AnthropicAI·
In new Anthropic Fellows research, we discuss “introspection adapters": a tool that allows language models to self-report behaviors they've learned during training—including potential misalignment.
keshav@kshenoy_

Can LLMs simply tell us about unwanted behaviors they’ve picked up in training? We train a single Introspection Adapter (IA) that makes fine-tuned models describe their behaviors. It generalizes to detecting hidden misalignment, backdoors and safeguard removal.

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Dan Shipper 📧
Dan Shipper 📧@danshipper·
Agents who can buy, sell, and trade on our behalf are becoming a major part of the economy. But what exactly are they doing? Stripe sees 2% of global GDP, so they’re the company with the best view of what’s going on in the earliest innings of the agent economy. That’s why I had Emily Glassberg Sands, who leads data and AI at @stripe, on @every’s AI & I. We covered: - Most of us still don’t trust AI with larger online purchases. People are hesitant to let AI make expensive purchases like a vacation or a couch—just like the early days of online shopping. But a superhero outfit for a kid who needs one stat? Sure, let the agent handle it. - Fraud is moving up the stack. It used to mean stolen credit cards. Now attackers are stealing free-trial tokens and compute credits. Free-trial abuse has 4x-ed in the last six months.. - AI is on both sides of fraud. Fraudsters are using it to scale attacks, while Stripe is using it to detect them. They’re blocking 250,000 fraudulent free trials a week for one large customer. - AI companies are growing faster than any cohort Stripe has ever tracked. Top companies hit $30M ARR in 18 months—3x faster than the 2018 SaaS class. So far, it’s net new spend instead of cannibalized software budgets. If you want to understand how AI is reshaping online commerce, this one deserves your time. Timestamps Introduction: 00:00:45 New rules for an agent-driven economy: 00:01:27 Compute theft is the new payment fraud: 00:03:57 How Stripe expanded fraud detection from checkout to the full customer lifecycle: 00:10:00 Why AI companies are scaling way faster than top SaaS companies: 00:19:48 Outcome-based billing is replacing seat-based pricing: 00:23:27 Where AI spending is coming from: 00:29:57 How the developer experience changes when agents are the builders: 00:36:45 The agentic commerce spectrum, from assisted buying to autonomous purchasing: 00:41:00 Meet Link, a consumer wallet for delegated agent purchases: 00:51:06
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